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What is llama.cpp?
llama.cpp is a framework for inferring Large Language Models (LLMs) such as LLaMA in C/C++ language.
The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a variety of hardware, both locally and in the cloud.
For reference, LLaMA is an open-source framework of large-scale language models in the Python language developed by Meta (formerly Facebook).
$ git clone https : / / github .com / meta - llama / llama
The license is LLAMA 2 COMMUNITY LICENSE AGREEMENT.
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llama.cpp is available as open source on GitHub.
$ git clone https : / / github .com / ggerganov / llama .cpp
The open source license is MIT License .
The features of llama.cpp are as follows.
Implemented in plain C/C++ language with no dependencies
Support mainly for Apple silicon: optimized by ARM NEON, Accelerate, and Metal frameworks
Support for AVX, AVX2, and AVX512 on x86 architecture
1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory usage
Custom CUDA kernel to run LLM on NVIDIA GPUs (AMD GPU support via HIP)
Vulkan and SYCL backend support
Hybrid CPU+GPU inference for partial model acceleration beyond total VRAM capacity
Large Language Models Supported by llama.cpp
As of August 2024, the following large language models are supported by llama.cpp.
Projects that Run llama.cpp in Other Languages and Environments
Projects are underway to run llama.cpp in other languages and environments.
Typical projects are listed below.
NOTE: The list of projects can be found on the official llama.cpp page .
Introductory Videos of llama.cpp
These are introductory videos of llama.cpp.
Summary
We introduced llama.cpp, a framework that enables inference of large language language models such as LLaMA in C/C++ language.
llama.cpp supports many large-scale language models.
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